Udemy - Modern Deep Learning In Python [TP]

Files:

• 1. Outline - what did you learn previously, and what will you learn in this course.mp4 (14.4 MB)
• 1. Outline - what did you learn previously, and what will you learn in this course.vtt (9.8 KB)
• 2. Where does this course fit into your deep learning studies.mp4 (6.0 MB)
• 2. Where does this course fit into your deep learning studies.vtt (5.0 KB)

• 1. Transition to the 2nd Half of the Course.mp4 (9.4 MB)
• 1. Transition to the 2nd Half of the Course.vtt (5.8 KB)

• 1. Facial Expression Recognition Project Introduction.mp4 (9.8 MB)
• 1. Facial Expression Recognition Project Introduction.vtt (5.7 KB)
• 2. Facial Expression Recognition Problem Description.mp4 (21.4 MB)
• 2. Facial Expression Recognition Problem Description.vtt (14.3 KB)
• 3. The class imbalance problem.mp4 (10.1 MB)
• 3. The class imbalance problem.vtt (7.2 KB)
• 4. Utilities walkthrough.mp4 (13.5 MB)
• 4. Utilities walkthrough.vtt (5.2 KB)
• 5. Class-Based ANN in Theano.mp4 (44.0 MB)
• 5. Class-Based ANN in Theano.vtt (13.4 KB)
• 6. Class-Based ANN in TensorFlow.mp4 (37.4 MB)
• 6. Class-Based ANN in TensorFlow.vtt (11.5 KB)
• 7. Facial Expression Recognition Project Summary.mp4 (2.9 MB)
• 7. Facial Expression Recognition Project Summary.vtt (1.5 KB)

• 1. Modern Regularization Techniques Section Introduction.mp4 (4.3 MB)
• 1. Modern Regularization Techniques Section Introduction.vtt (2.7 KB)
• 2. Dropout Regularization.mp4 (22.7 MB)
• 2. Dropout Regularization.vtt (12.7 KB)
• 3. Dropout Intuition.mp4 (6.1 MB)
• 3. Dropout Intuition.vtt (4.0 KB)
• 4. Noise Injection.mp4 (8.6 MB)
• 4. Noise Injection.vtt (6.2 KB)
• 5. Modern Regularization Techniques Section Summary.mp4 (3.9 MB)
• 5. Modern Regularization Techniques Section Summary.vtt (2.4 KB)

• 1. Batch Normalization Introduction.mp4 (3.5 MB)
• 1. Batch Normalization Introduction.vtt (2.2 KB)
• 2. Exponentially-Smoothed Averages.mp4 (7.4 MB)
• 2. Exponentially-Smoothed Averages.vtt (4.8 KB)
• 3. Batch Normalization Theory.mp4 (18.6 MB)
• 3. Batch Normalization Theory.vtt (12.4 KB)
• 4. Batch Normalization Tensorflow (part 1).mp4 (9.4 MB)
• 4. Batch Normalization Tensorflow (part 1).vtt (5.9 KB)
• 5. Batch Normalization Tensorflow (part 2).mp4 (14.9 MB)
• 5. Batch Normalization Tensorflow (part 2).vtt (5.9 KB)
• 6. Batch Normalization Theano (part 1).mp4 (7.6 MB)
• 6. Batch Normalization Theano (part 1).vtt (4.8 KB)
• 7. Batch Normalization Theano (part 2).mp4 (16.5 MB)
• 7. Batch Normalization Theano (part 2).vtt (7.0 KB)
• 8. Noise Perspective.mp4 (3.1 MB)
• 8. Noise Perspective.vtt (2.2 KB)
• 9. Batch Normalization Summary.mp4 (2.6 MB)
• 9. Batch Normalization Summary.vtt (1.9 KB)

• 1. Keras Discussion.mp4 (11.2 MB)
• 1. Keras Discussion.vtt (8.0 KB)
• 2. Keras in Code.mp4 (14.8 MB)
• 2. Keras in Code.vtt (6.5 KB)
• 3. Keras Functional API.mp4 (38.6 MB)
• 3. Keras Functional API.vtt (4.7 KB)

• 1. PyTorch Basics.mp4 (116.8 MB)
• 1. PyTorch Basics.vtt (12.9 KB)
• 2. PyTorch Dropout.mp4 (32.7 MB)
• 2. PyTorch Dropout.vtt (2.6 KB)
• 3. PyTorch Batch Norm.mp4 (33.9 MB)
• 3. PyTorch Batch Norm.vtt (2.6 KB)

• 1. PyTorch, CNTK, and MXNet.mp4 (1.3 MB)
• 1. PyTorch, CNTK, and MXNet.vtt (0.9 KB)

• 1. What is the Appendix.mp4 (5.5 MB)
• 1. What is the Appendix.vtt (3.3 KB)
• 10. Proof that using Jupyter Notebook is the same as not using it.mp4 (78.3 MB)
• 10. Proof that using Jupyter Notebook is the same as not using it.vtt (12.2 KB)
• 11. How to Uncompress a .tar.gz file.mp4 (5.4 MB)
• 11. How to Uncompress a .tar.gz file.vtt (3.7 KB)
• 12. Python 2 vs Python 3.mp4 (7.8 MB)
• 12. Python 2 vs Python 3.vtt (5.4 KB)
• 13. What order should I take your courses in (part 1).mp4 (29.3 MB)
• 13. What order should I take your courses in (part 1).vtt (14.1 KB)
• 14. What order should I take your courses in (part 2).mp4 (37.6 MB)
• 14. What order should I take your courses in (part 2).vtt (20.2 KB)
• 2. What's the difference between neural networks and deep learning.mp4 (45.1 MB)
• 2. What's the difference between neural networks and deep learning.vtt (8.9 KB)
• 3. Manually Choosing Learning Rate and Regularization Penalty.mp4 (7.8 MB)
• 3. Manually Choosing Learning Rate and Regularization Penalty.vtt (5.0 KB)
• 4. Windows-Focused Environment Setup 2018.mp4 (186.3 MB)
• 4. Windows-Focused Environment Setup 2018.vtt (17.4 KB)
• 5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (43.9 MB)
• 5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt (12.4 KB)
• 6. How to Succeed in this Course (Long Version).mp4 (13.0 MB)
• 6. How to Succeed in this Course (Long Version).vtt (12.9 KB)
• 7. How to Code by Yourself (part 1).mp4 (24.5 MB)
• 7. How to Code by Yourself (part 1).vtt (19.8 KB)
• 8. How to Code by Yourself (part 2).mp4 (14.8 MB)
• 8. How to Code by Yourself (part 2).vtt (11.6 KB)
• 9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (39.0 MB)
• 9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt (27.8 KB)

• 1. Review of Basic Concepts.mp4 (23.4 MB)
• 1. Review of Basic Concepts.vtt (16.0 KB)
• 2. Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 (11.1 MB)
• 2. Where to get the MNIST dataset and Establishing a Linear Benchmark.vtt (4.2 KB)

• 1. What are full, batch, and stochastic gradient descent.mp4 (5.8 MB)
• 1. What are full, batch, and stochastic gradient descent.vtt (3.5 KB)
• 2. Full vs Batch vs Stochastic Gradient Descent in code.mp4 (14.0 MB)
• 2. Full vs Batch vs Stochastic Gradient Descent in code.vtt (5.8 KB)

• 1. Using Momentum to Speed Up Training.mp4 (10.7 MB)
• 1. Using Momentum to Speed Up Training.vtt (6.9 KB)
• 2. Nesterov Momentum.mp4 (10.6 MB)
• 2. Nesterov Momentum.vtt (6.8 KB)
• 3. Momentum in Code.mp4 (14.4 MB)
• 3. Momentum in Code.vtt (5.5 KB)
• 4. Variable and adaptive learning rates.mp4 (18.9 MB)
• 4. Variable and adaptive learning rates.vtt (13.2 KB)
• 5. Constant learning rate vs. RMSProp in Code.mp4 (11.0 MB)
• 5. Constant learning rate vs. RMSProp in Code.vtt (3.8 KB)
• 6. Adam Optimization.mp4 (19.3 MB)
• 6. Adam Optimization.vtt (11.9 KB)
• 7. Adam in Code.mp4 (13.9 MB)
• 7. Adam in Code.vtt (6.0 KB)

• 1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4 (5.1 MB)
• 1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.vtt (4.1 KB)
• 2. Sampling Logarithmically.mp4 (5.2 MB)
• 2. Sampling Logarithmically.vtt (3.4 KB)
• 3. Grid Search in Code.mp4 (13.8 MB)
• 3. Grid Search in Code.vtt (8.2 KB)
• 4. Modifying Grid Search.mp4 (2.2 MB)
• 4. Modifying Grid Search.vtt (1.5 KB)
• 5. Random Search in Code.mp4 (7.9 MB)
• 5. Random Search in Code.vtt (4.3 KB)

• 1. Weight Initialization Section Introduction.mp4 (1.5 MB)
• 1. Weight Initialization Section Introduction.vtt (1.1 KB)
• 2. Vanishing and Exploding Gradients.mp4 (10.0 MB)
• 2. Vanishing and Exploding Gradients.vtt (7.0 KB)
• 3. Weight Initialization.mp4 (13.6 MB)
• 3. Weight Initialization.vtt (9.1 KB)
• 4. Local vs. Global Minima.mp4 (5.1 MB)
• 4. Local vs. Global Minima.vtt (3.1 KB)
• 5. Weight Initialization Section Summary.mp4 (2.7 MB)
• 5. Weight Initialization Section Summary.vtt (1.9 KB)

• 1. Theano Basics Variables, Functions, Expressions, Optimization.mp4 (19.3 MB)
• 1. Theano Basics Variables, Functions, Expressions, Optimization.vtt (7.0 KB)
• 2. Building a neural network in Theano.mp4 (21.8 MB)
• 2. Building a neural network in Theano.vtt (4.0 KB)
• 3. Is Theano Dead.mp4 (17.8 MB)
• 3. Is Theano Dead.vtt (11.3 KB)

• 1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4 (17.1 MB)
• 1. TensorFlow Basics Variables, Functions, Expressions, Optimization.vtt (5.6 KB)
• 2. Building a neural network in TensorFlow.mp4 (23.8 MB)
• 2. Building a neural network in TensorFlow.vtt (5.4 KB)
• 3. What is a Session (And more).mp4 (23.6 MB)
• 3. What is a Session (And more).vtt (16.0 KB)

• 1. Setting up a GPU Instance on Amazon Web Services.mp4 (25.7 MB)
• 1. Setting up a GPU Instance on Amazon Web Services.vtt (4.2 KB)
• 2. Can Big Data be used to Speed Up Backpropagation.mp4 (5.2 MB)
• 2. Can Big Data be used to Speed Up Backpropagation.vtt (3.9 KB)
• 3. Exercises and Concepts Still to be Covered.mp4 (4.5 MB)
• 3. Exercises and Concepts Still to be Covered.vtt (2.6 KB)
• 4. How to Improve your Theano and Tensorflow Skills.mp4 (7.3 MB)
• 4. How to Improve your Theano and Tensorflow Skills.vtt (5.4 KB)
• 5. Theano vs. TensorFlow.mp4 (9.1 MB)
• 5. Theano vs. TensorFlow.vtt (7.5 KB)

• [Tutorialsplanet.NET].url (0.1 KB)